Context-sensitive data integration and prediction of biological networks
暂无分享,去创建一个
[1] Matthew A. Hibbs,et al. Finding function: evaluation methods for functional genomic data , 2006, BMC Genomics.
[2] R. Schapire,et al. Hierarchical multi-label prediction of gene function , 2006 .
[3] P. Bork,et al. Proteome survey reveals modularity of the yeast cell machinery , 2006, Nature.
[4] Mike Tyers,et al. BioGRID: a general repository for interaction datasets , 2005, Nucleic Acids Res..
[5] Matthew A. Hibbs,et al. Discovery of biological networks from diverse functional genomic data , 2005, Genome Biology.
[6] Ambuj K. Singh,et al. Analysis of protein-protein interaction networks using random walks , 2005, BIOKDD.
[7] Nir Friedman,et al. Towards an Integrated Protein-Protein Interaction Network , 2005, RECOMB.
[8] Ian M. Donaldson,et al. The Biomolecular Interaction Network Database and related tools 2005 update , 2004, Nucleic Acids Res..
[9] Yanjun Qi,et al. Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources , 2004, Pacific Symposium on Biocomputing.
[10] Dietmar E. Martin,et al. Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data , 2004, BMC Bioinformatics.
[11] Nicola J. Rinaldi,et al. Transcriptional regulatory code of a eukaryotic genome , 2004, Nature.
[12] Francis D. Gibbons,et al. Predicting protein complex membership using probabilistic network reliability. , 2004, Genome research.
[13] Nello Cristianini,et al. Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast , 2003, Pacific Symposium on Biocomputing.
[14] M. Gerstein,et al. Embryonic stem cell grafting in normal and infarcted myocardium: serial assessment with MR imaging and PET dual detection. , 2009, Radiology.
[15] E. O’Shea,et al. Global analysis of protein localization in budding yeast , 2003, Nature.
[16] Joel S. Bader,et al. Greedily building protein networks with confidence , 2003, Bioinform..
[17] Stanley Letovsky,et al. Predicting protein function from protein/protein interaction data: a probabilistic approach , 2003, ISMB.
[18] A. Owen,et al. A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae) , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[19] Shmuel Sattath,et al. How reliable are experimental protein-protein interaction data? , 2003, Journal of molecular biology.
[20] Ting Chen,et al. Assessment of the reliability of protein-protein interactions and protein function prediction , 2002, Pacific Symposium on Biocomputing.
[21] S. Fields,et al. A protein interaction map for cell polarity development , 2001, The Journal of cell biology.
[22] Varshal K. Davé,et al. Genome-wide responses to mitochondrial dysfunction. , 2001, Molecular biology of the cell.
[23] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[24] Michael Q. Zhang,et al. SCPD: a promoter database of the yeast Saccharomyces cerevisiae , 1999, Bioinform..
[25] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[26] S. Fields,et al. Protein-protein interactions: methods for detection and analysis , 1995, Microbiological reviews.
[27] J. Rothberg,et al. Gaining confidence in high-throughput protein interaction networks , 2004, Nature Biotechnology.
[28] G. Sumara,et al. A Probabilistic Functional Network of Yeast Genes , 2004 .
[29] Christian von Mering,et al. STRING: a database of predicted functional associations between proteins , 2003, Nucleic Acids Res..
[30] C. Ball,et al. Saccharomyces Genome Database. , 2002, Methods in enzymology.